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25 April 2024
 
  » arxiv » cond-mat/0312414

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A dynamical approach to the spatiotemporal aspects of the Portevin-Le Chatelier effect: Chaos,turbulence and band propagation
G. Ananthakrishna ; M.S. Bharathi ;
Date 17 Dec 2003
Subject Materials Science; Adaptation and Self-Organizing Systems; Chaotic Dynamics | cond-mat.mtrl-sci nlin.AO nlin.CD
Affiliation1,2) and M.S. Bharathi (Materials Research Centre, Indian Institute of Science, Bangalore, India, Centre for Condensed Matter Theory, Indian Institute of Science, Bangalore, India.
AbstractExperimental time series obtained from single and poly-crystals subjected to a constant strain rate tests report an intriguing dynamical crossover from a low dimensional chaotic state at medium strain rates to an infinite dimensional power law state of stress drops at high strain rates. We present results of an extensive study of all aspects of the PLC effect within the context a model that reproduces this crossover. A study of the distribution of the Lyapunov exponents as a function of strain rate shows that it changes from a small set of positive exponents in the chaotic regime to a dense set of null exponents in the scaling regime. As the latter feature is similar to the GOY shell model for turbulence, we compare our results with the GOY model. Interestingly, the null exponents in our model themselves obey a power law. The configuration of dislocations is visualized through the slow manifold analysis. This shows that while a large proportion of dislocations are in the pinned state in the chaotic regime, most of them are at the threshold of unpinning in the scaling regime. The model qualitatively reproduces the different types of deformation bands seen in experiments. At high strain rates where propagating bands are seen, the model equations are reduced to the Fisher-Kolmogorov equation for propagative fronts. This shows that the velocity of the bands varies linearly with the strain rate and inversely with the dislocation density, consistent with the known experimental results. Thus, this simple dynamical model captures the complex spatio-temporal features of the PLC effect.
Source arXiv, cond-mat/0312414
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